Computational Methods to Predict Protein Interaction Partners
作者： Alfonso Valencia , Florencio Pazos
DOI: 10.1007/978-1-84800-125-1_4
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摘要: In the new paradigm for studying biological phenomena represented by Systems Biology, cellular components are not considered in isolation but as forming complex networks of relationships. Protein interaction among first objects studied from this point view. Deciphering interactome (the whole network interactions a given proteome) has been shown to be very task. Computational techniques detecting protein have become standard tools dealing with problem, helping and complementing their experimental counterparts. Most these use genomic or sequence features intuitively related based on “first principles” sense that they do involve training examples. There also other computational sources information (i.e. structural even data)
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